Overview

Brought to you by YData

Dataset statistics

Number of variables24
Number of observations24000
Missing cells0
Missing cells (%)0.0%
Duplicate rows24
Duplicate rows (%)0.1%
Total size in memory4.4 MiB
Average record size in memory192.0 B

Variable types

Numeric21
Categorical3

Alerts

Dataset has 24 (0.1%) duplicate rowsDuplicates
BILL_AMT1 is highly overall correlated with BILL_AMT2 and 9 other fieldsHigh correlation
BILL_AMT2 is highly overall correlated with BILL_AMT1 and 11 other fieldsHigh correlation
BILL_AMT3 is highly overall correlated with BILL_AMT1 and 11 other fieldsHigh correlation
BILL_AMT4 is highly overall correlated with BILL_AMT1 and 14 other fieldsHigh correlation
BILL_AMT5 is highly overall correlated with BILL_AMT1 and 13 other fieldsHigh correlation
BILL_AMT6 is highly overall correlated with BILL_AMT1 and 11 other fieldsHigh correlation
PAY_1 is highly overall correlated with PAY_2 and 2 other fieldsHigh correlation
PAY_2 is highly overall correlated with BILL_AMT1 and 8 other fieldsHigh correlation
PAY_3 is highly overall correlated with BILL_AMT1 and 9 other fieldsHigh correlation
PAY_4 is highly overall correlated with BILL_AMT1 and 10 other fieldsHigh correlation
PAY_5 is highly overall correlated with BILL_AMT1 and 9 other fieldsHigh correlation
PAY_6 is highly overall correlated with BILL_AMT2 and 8 other fieldsHigh correlation
PAY_AMT1 is highly overall correlated with BILL_AMT1 and 5 other fieldsHigh correlation
PAY_AMT2 is highly overall correlated with BILL_AMT2 and 7 other fieldsHigh correlation
PAY_AMT3 is highly overall correlated with BILL_AMT4 and 7 other fieldsHigh correlation
PAY_AMT4 is highly overall correlated with BILL_AMT4 and 6 other fieldsHigh correlation
PAY_AMT5 is highly overall correlated with BILL_AMT4 and 6 other fieldsHigh correlation
PAY_AMT6 is highly overall correlated with BILL_AMT5 and 4 other fieldsHigh correlation
PAY_AMT2 is highly skewed (γ1 = 31.76959305)Skewed
PAY_1 has 11765 (49.0%) zerosZeros
PAY_2 has 12579 (52.4%) zerosZeros
PAY_3 has 12567 (52.4%) zerosZeros
PAY_4 has 13087 (54.5%) zerosZeros
PAY_5 has 13495 (56.2%) zerosZeros
PAY_6 has 13005 (54.2%) zerosZeros
BILL_AMT1 has 1607 (6.7%) zerosZeros
BILL_AMT2 has 2016 (8.4%) zerosZeros
BILL_AMT3 has 2296 (9.6%) zerosZeros
BILL_AMT4 has 2554 (10.6%) zerosZeros
BILL_AMT5 has 2806 (11.7%) zerosZeros
BILL_AMT6 has 3222 (13.4%) zerosZeros
PAY_AMT1 has 4186 (17.4%) zerosZeros
PAY_AMT2 has 4308 (17.9%) zerosZeros
PAY_AMT3 has 4801 (20.0%) zerosZeros
PAY_AMT4 has 5148 (21.4%) zerosZeros
PAY_AMT5 has 5396 (22.5%) zerosZeros
PAY_AMT6 has 5743 (23.9%) zerosZeros

Reproduction

Analysis started2025-09-28 17:11:08.268287
Analysis finished2025-09-28 17:11:45.073588
Duration36.81 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

LIMIT_BAL
Real number (ℝ)

Distinct80
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167876.4
Minimum10000
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:45.191126image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile20000
Q150000
median140000
Q3240000
95-th percentile430000
Maximum1000000
Range990000
Interquartile range (IQR)190000

Descriptive statistics

Standard deviation129907.45
Coefficient of variation (CV)0.77382796
Kurtosis0.55884867
Mean167876.4
Median Absolute Deviation (MAD)90000
Skewness0.99395368
Sum4.0290337 × 109
Variance1.6875947 × 1010
MonotonicityNot monotonic
2025-09-28T23:11:45.294128image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500002698
 
11.2%
200001548
 
6.5%
300001286
 
5.4%
800001282
 
5.3%
2000001204
 
5.0%
150000889
 
3.7%
100000834
 
3.5%
180000791
 
3.3%
360000713
 
3.0%
60000649
 
2.7%
Other values (70)12106
50.4%
ValueCountFrequency (%)
10000395
 
1.6%
160001
 
< 0.1%
200001548
6.5%
300001286
5.4%
40000187
 
0.8%
500002698
11.2%
60000649
 
2.7%
70000588
 
2.5%
800001282
5.3%
90000512
 
2.1%
ValueCountFrequency (%)
10000001
 
< 0.1%
8000002
 
< 0.1%
7800002
 
< 0.1%
7600001
 
< 0.1%
7500004
< 0.1%
7400002
 
< 0.1%
7300002
 
< 0.1%
7200002
 
< 0.1%
7100005
< 0.1%
7000008
< 0.1%

SEX
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.6 KiB
2
14422 
1
9578 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
214422
60.1%
19578
39.9%

Length

2025-09-28T23:11:45.408353image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-09-28T23:11:45.472370image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
ValueCountFrequency (%)
214422
60.1%
19578
39.9%

Most occurring characters

ValueCountFrequency (%)
214422
60.1%
19578
39.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
214422
60.1%
19578
39.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
214422
60.1%
19578
39.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
214422
60.1%
19578
39.9%

EDUCATION
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8509583
Minimum0
Maximum6
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:45.513595image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.78736104
Coefficient of variation (CV)0.42538021
Kurtosis2.0180807
Mean1.8509583
Median Absolute Deviation (MAD)1
Skewness0.95419246
Sum44423
Variance0.61993741
MonotonicityNot monotonic
2025-09-28T23:11:45.576020image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
211213
46.7%
18486
35.4%
33944
 
16.4%
5217
 
0.9%
490
 
0.4%
639
 
0.2%
011
 
< 0.1%
ValueCountFrequency (%)
011
 
< 0.1%
18486
35.4%
211213
46.7%
33944
 
16.4%
490
 
0.4%
5217
 
0.9%
639
 
0.2%
ValueCountFrequency (%)
639
 
0.2%
5217
 
0.9%
490
 
0.4%
33944
 
16.4%
211213
46.7%
18486
35.4%
011
 
< 0.1%

MARRIAGE
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.6 KiB
2
12808 
1
10897 
3
 
253
0
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24000
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
212808
53.4%
110897
45.4%
3253
 
1.1%
042
 
0.2%

Length

2025-09-28T23:11:45.698567image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-09-28T23:11:45.748224image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
ValueCountFrequency (%)
212808
53.4%
110897
45.4%
3253
 
1.1%
042
 
0.2%

Most occurring characters

ValueCountFrequency (%)
212808
53.4%
110897
45.4%
3253
 
1.1%
042
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
212808
53.4%
110897
45.4%
3253
 
1.1%
042
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
212808
53.4%
110897
45.4%
3253
 
1.1%
042
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
212808
53.4%
110897
45.4%
3253
 
1.1%
042
 
0.2%

AGE
Real number (ℝ)

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.446708
Minimum21
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:45.820575image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23
Q128
median34
Q341
95-th percentile53
Maximum79
Range58
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.1808454
Coefficient of variation (CV)0.25900417
Kurtosis0.045823063
Mean35.446708
Median Absolute Deviation (MAD)6
Skewness0.73115373
Sum850721
Variance84.287922
MonotonicityNot monotonic
2025-09-28T23:11:45.959904image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
291309
 
5.5%
271182
 
4.9%
281129
 
4.7%
301126
 
4.7%
26975
 
4.1%
31975
 
4.1%
25953
 
4.0%
34941
 
3.9%
33933
 
3.9%
32923
 
3.8%
Other values (46)13554
56.5%
ValueCountFrequency (%)
2152
 
0.2%
22431
 
1.8%
23770
3.2%
24909
3.8%
25953
4.0%
26975
4.1%
271182
4.9%
281129
4.7%
291309
5.5%
301126
4.7%
ValueCountFrequency (%)
791
 
< 0.1%
751
 
< 0.1%
741
 
< 0.1%
734
 
< 0.1%
723
 
< 0.1%
713
 
< 0.1%
708
< 0.1%
6912
0.1%
683
 
< 0.1%
6711
< 0.1%

PAY_1
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.023875
Minimum-2
Maximum8
Zeros11765
Zeros (%)49.0%
Negative6843
Negative (%)28.5%
Memory size187.6 KiB
2025-09-28T23:11:46.051134image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1238065
Coefficient of variation (CV)-47.070427
Kurtosis2.9182819
Mean-0.023875
Median Absolute Deviation (MAD)1
Skewness0.76356482
Sum-573
Variance1.2629409
MonotonicityNot monotonic
2025-09-28T23:11:46.132051image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
011765
49.0%
-14636
 
19.3%
12907
 
12.1%
-22207
 
9.2%
22127
 
8.9%
3247
 
1.0%
455
 
0.2%
522
 
0.1%
817
 
0.1%
610
 
< 0.1%
ValueCountFrequency (%)
-22207
 
9.2%
-14636
 
19.3%
011765
49.0%
12907
 
12.1%
22127
 
8.9%
3247
 
1.0%
455
 
0.2%
522
 
0.1%
610
 
< 0.1%
77
 
< 0.1%
ValueCountFrequency (%)
817
 
0.1%
77
 
< 0.1%
610
 
< 0.1%
522
 
0.1%
455
 
0.2%
3247
 
1.0%
22127
 
8.9%
12907
 
12.1%
011765
49.0%
-14636
 
19.3%

PAY_2
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1405
Minimum-2
Maximum8
Zeros12579
Zeros (%)52.4%
Negative7924
Negative (%)33.0%
Memory size187.6 KiB
2025-09-28T23:11:46.228873image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1942163
Coefficient of variation (CV)-8.4997599
Kurtosis1.6870491
Mean-0.1405
Median Absolute Deviation (MAD)0
Skewness0.81029667
Sum-3372
Variance1.4261525
MonotonicityNot monotonic
2025-09-28T23:11:46.293340image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
012579
52.4%
-14901
 
20.4%
23089
 
12.9%
-23023
 
12.6%
3257
 
1.1%
480
 
0.3%
124
 
0.1%
520
 
0.1%
718
 
0.1%
68
 
< 0.1%
ValueCountFrequency (%)
-23023
 
12.6%
-14901
 
20.4%
012579
52.4%
124
 
0.1%
23089
 
12.9%
3257
 
1.1%
480
 
0.3%
520
 
0.1%
68
 
< 0.1%
718
 
0.1%
ValueCountFrequency (%)
81
 
< 0.1%
718
 
0.1%
68
 
< 0.1%
520
 
0.1%
480
 
0.3%
3257
 
1.1%
23089
 
12.9%
124
 
0.1%
012579
52.4%
-14901
 
20.4%

PAY_3
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.17
Minimum-2
Maximum8
Zeros12567
Zeros (%)52.4%
Negative8080
Negative (%)33.7%
Memory size187.6 KiB
2025-09-28T23:11:46.359005image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1987118
Coefficient of variation (CV)-7.0512456
Kurtosis2.2187202
Mean-0.17
Median Absolute Deviation (MAD)0
Skewness0.86542473
Sum-4080
Variance1.4369099
MonotonicityNot monotonic
2025-09-28T23:11:46.428169image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
012567
52.4%
-14805
 
20.0%
-23275
 
13.6%
23036
 
12.7%
3190
 
0.8%
461
 
0.3%
723
 
0.1%
620
 
0.1%
516
 
0.1%
14
 
< 0.1%
ValueCountFrequency (%)
-23275
 
13.6%
-14805
 
20.0%
012567
52.4%
14
 
< 0.1%
23036
 
12.7%
3190
 
0.8%
461
 
0.3%
516
 
0.1%
620
 
0.1%
723
 
0.1%
ValueCountFrequency (%)
83
 
< 0.1%
723
 
0.1%
620
 
0.1%
516
 
0.1%
461
 
0.3%
3190
 
0.8%
23036
 
12.7%
14
 
< 0.1%
012567
52.4%
-14805
 
20.0%

PAY_4
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2215
Minimum-2
Maximum8
Zeros13087
Zeros (%)54.5%
Negative8086
Negative (%)33.7%
Memory size187.6 KiB
2025-09-28T23:11:46.492541image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1717842
Coefficient of variation (CV)-5.2902223
Kurtosis3.5057726
Mean-0.2215
Median Absolute Deviation (MAD)0
Skewness1.0072972
Sum-5316
Variance1.3730783
MonotonicityNot monotonic
2025-09-28T23:11:46.557832image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
013087
54.5%
-14608
 
19.2%
-23478
 
14.5%
22553
 
10.6%
3134
 
0.6%
454
 
0.2%
746
 
0.2%
532
 
0.1%
64
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
-23478
 
14.5%
-14608
 
19.2%
013087
54.5%
12
 
< 0.1%
22553
 
10.6%
3134
 
0.6%
454
 
0.2%
532
 
0.1%
64
 
< 0.1%
746
 
0.2%
ValueCountFrequency (%)
82
 
< 0.1%
746
 
0.2%
64
 
< 0.1%
532
 
0.1%
454
 
0.2%
3134
 
0.6%
22553
 
10.6%
12
 
< 0.1%
013087
54.5%
-14608
 
19.2%

PAY_5
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.26683333
Minimum-2
Maximum8
Zeros13495
Zeros (%)56.2%
Negative8116
Negative (%)33.8%
Memory size187.6 KiB
2025-09-28T23:11:46.622017image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1332197
Coefficient of variation (CV)-4.2469194
Kurtosis3.9822157
Mean-0.26683333
Median Absolute Deviation (MAD)0
Skewness1.008783
Sum-6404
Variance1.2841868
MonotonicityNot monotonic
2025-09-28T23:11:46.695013image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
013495
56.2%
-14493
 
18.7%
-23623
 
15.1%
22122
 
8.8%
3139
 
0.6%
465
 
0.3%
747
 
0.2%
513
 
0.1%
62
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
-23623
 
15.1%
-14493
 
18.7%
013495
56.2%
22122
 
8.8%
3139
 
0.6%
465
 
0.3%
513
 
0.1%
62
 
< 0.1%
747
 
0.2%
81
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
747
 
0.2%
62
 
< 0.1%
513
 
0.1%
465
 
0.3%
3139
 
0.6%
22122
 
8.8%
013495
56.2%
-14493
 
18.7%
-23623
 
15.1%

PAY_6
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.29441667
Minimum-2
Maximum8
Zeros13005
Zeros (%)54.2%
Negative8543
Negative (%)35.6%
Memory size187.6 KiB
2025-09-28T23:11:46.759237image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1463159
Coefficient of variation (CV)-3.8935158
Kurtosis3.3551147
Mean-0.29441667
Median Absolute Deviation (MAD)0
Skewness0.93198696
Sum-7066
Variance1.3140402
MonotonicityNot monotonic
2025-09-28T23:11:46.822364image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
013005
54.2%
-14625
 
19.3%
-23918
 
16.3%
22207
 
9.2%
3149
 
0.6%
437
 
0.2%
735
 
0.1%
615
 
0.1%
57
 
< 0.1%
82
 
< 0.1%
ValueCountFrequency (%)
-23918
 
16.3%
-14625
 
19.3%
013005
54.2%
22207
 
9.2%
3149
 
0.6%
437
 
0.2%
57
 
< 0.1%
615
 
0.1%
735
 
0.1%
82
 
< 0.1%
ValueCountFrequency (%)
82
 
< 0.1%
735
 
0.1%
615
 
0.1%
57
 
< 0.1%
437
 
0.2%
3149
 
0.6%
22207
 
9.2%
013005
54.2%
-14625
 
19.3%
-23918
 
16.3%

BILL_AMT1
Real number (ℝ)

High correlation  Zeros 

Distinct18660
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51105.607
Minimum-165580
Maximum964511
Zeros1607
Zeros (%)6.7%
Negative455
Negative (%)1.9%
Memory size187.6 KiB
2025-09-28T23:11:46.906883image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-165580
5-th percentile0
Q13479.75
median22217
Q366996.75
95-th percentile201013.1
Maximum964511
Range1130091
Interquartile range (IQR)63517

Descriptive statistics

Standard deviation73647.549
Coefficient of variation (CV)1.4410855
Kurtosis9.9041436
Mean51105.607
Median Absolute Deviation (MAD)21640.5
Skewness2.6698418
Sum1.2265346 × 109
Variance5.4239615 × 109
MonotonicityNot monotonic
2025-09-28T23:11:47.045016image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01607
 
6.7%
390199
 
0.8%
78059
 
0.2%
32656
 
0.2%
31655
 
0.2%
250045
 
0.2%
39640
 
0.2%
240030
 
0.1%
41624
 
0.1%
147322
 
0.1%
Other values (18650)21863
91.1%
ValueCountFrequency (%)
-1655801
< 0.1%
-1549731
< 0.1%
-153081
< 0.1%
-143861
< 0.1%
-115451
< 0.1%
-106821
< 0.1%
-90951
< 0.1%
-81871
< 0.1%
-74381
< 0.1%
-66761
< 0.1%
ValueCountFrequency (%)
9645111
< 0.1%
7468141
< 0.1%
6304581
< 0.1%
6217491
< 0.1%
6138601
< 0.1%
6085941
< 0.1%
6040191
< 0.1%
5896541
< 0.1%
5880001
< 0.1%
5817751
< 0.1%

BILL_AMT2
Real number (ℝ)

High correlation  Zeros 

Distinct18363
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49112.466
Minimum-69777
Maximum983931
Zeros2016
Zeros (%)8.4%
Negative532
Negative (%)2.2%
Memory size187.6 KiB
2025-09-28T23:11:47.155587image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-69777
5-th percentile0
Q12907.75
median21107
Q363997.25
95-th percentile194914.8
Maximum983931
Range1053708
Interquartile range (IQR)61089.5

Descriptive statistics

Standard deviation71186.769
Coefficient of variation (CV)1.4494644
Kurtosis10.407104
Mean49112.466
Median Absolute Deviation (MAD)20717
Skewness2.7078559
Sum1.1786992 × 109
Variance5.067556 × 109
MonotonicityNot monotonic
2025-09-28T23:11:47.276505image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02016
 
8.4%
390189
 
0.8%
31663
 
0.3%
78059
 
0.2%
32659
 
0.2%
39640
 
0.2%
250038
 
0.2%
240033
 
0.1%
-20023
 
0.1%
41622
 
0.1%
Other values (18353)21458
89.4%
ValueCountFrequency (%)
-697771
< 0.1%
-333501
< 0.1%
-300001
< 0.1%
-262141
< 0.1%
-247041
< 0.1%
-247021
< 0.1%
-229601
< 0.1%
-186181
< 0.1%
-180881
< 0.1%
-178101
< 0.1%
ValueCountFrequency (%)
9839311
< 0.1%
7439701
< 0.1%
6467701
< 0.1%
6244751
< 0.1%
6059431
< 0.1%
5817751
< 0.1%
5776811
< 0.1%
5728341
< 0.1%
5726771
< 0.1%
5695771
< 0.1%

BILL_AMT3
Real number (ℝ)

High correlation  Zeros 

Distinct18134
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46878.503
Minimum-157264
Maximum1664089
Zeros2296
Zeros (%)9.6%
Negative530
Negative (%)2.2%
Memory size187.6 KiB
2025-09-28T23:11:47.391749image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-157264
5-th percentile0
Q12594.25
median20009.5
Q360220.25
95-th percentile187527.35
Maximum1664089
Range1821353
Interquartile range (IQR)57626

Descriptive statistics

Standard deviation69315.274
Coefficient of variation (CV)1.4786153
Kurtosis21.915314
Mean46878.503
Median Absolute Deviation (MAD)19628.5
Skewness3.1517279
Sum1.1250841 × 109
Variance4.8046072 × 109
MonotonicityNot monotonic
2025-09-28T23:11:47.498143image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02296
 
9.6%
390230
 
1.0%
78059
 
0.2%
31655
 
0.2%
32649
 
0.2%
39636
 
0.1%
240030
 
0.1%
250029
 
0.1%
41622
 
0.1%
100022
 
0.1%
Other values (18124)21172
88.2%
ValueCountFrequency (%)
-1572641
< 0.1%
-615061
< 0.1%
-461271
< 0.1%
-340411
< 0.1%
-247021
< 0.1%
-203201
< 0.1%
-177061
< 0.1%
-159101
< 0.1%
-156411
< 0.1%
-150001
< 0.1%
ValueCountFrequency (%)
16640891
< 0.1%
8550861
< 0.1%
6931311
< 0.1%
6320411
< 0.1%
5789711
< 0.1%
5779571
< 0.1%
5770151
< 0.1%
5726771
< 0.1%
5597121
< 0.1%
5480201
< 0.1%

BILL_AMT4
Real number (ℝ)

High correlation  Zeros 

Distinct17733
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43172.528
Minimum-170000
Maximum891586
Zeros2554
Zeros (%)10.6%
Negative546
Negative (%)2.3%
Memory size187.6 KiB
2025-09-28T23:11:47.643951image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-170000
5-th percentile0
Q12294
median19000
Q354837.25
95-th percentile173806.2
Maximum891586
Range1061586
Interquartile range (IQR)52543.25

Descriptive statistics

Standard deviation64075.909
Coefficient of variation (CV)1.4841825
Kurtosis10.979536
Mean43172.528
Median Absolute Deviation (MAD)18604
Skewness2.7832214
Sum1.0361407 × 109
Variance4.1057221 × 109
MonotonicityNot monotonic
2025-09-28T23:11:47.747784image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02554
 
10.6%
390213
 
0.9%
78080
 
0.3%
31659
 
0.2%
32647
 
0.2%
39635
 
0.1%
240031
 
0.1%
15029
 
0.1%
100028
 
0.1%
41627
 
0.1%
Other values (17723)20897
87.1%
ValueCountFrequency (%)
-1700001
< 0.1%
-813341
< 0.1%
-506161
< 0.1%
-345031
< 0.1%
-243031
< 0.1%
-221081
< 0.1%
-203201
< 0.1%
-172501
< 0.1%
-159101
< 0.1%
-155881
< 0.1%
ValueCountFrequency (%)
8915861
< 0.1%
6286991
< 0.1%
6168361
< 0.1%
5656691
< 0.1%
5635431
< 0.1%
5480201
< 0.1%
5306721
< 0.1%
5187411
< 0.1%
5165751
< 0.1%
5049291
< 0.1%

BILL_AMT5
Real number (ℝ)

High correlation  Zeros 

Distinct17312
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40190.249
Minimum-53007
Maximum927171
Zeros2806
Zeros (%)11.7%
Negative537
Negative (%)2.2%
Memory size187.6 KiB
2025-09-28T23:11:47.880706image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-53007
5-th percentile0
Q11718.5
median18059.5
Q350320
95-th percentile164449.45
Maximum927171
Range980178
Interquartile range (IQR)48601.5

Descriptive statistics

Standard deviation60385.391
Coefficient of variation (CV)1.5024886
Kurtosis11.823931
Mean40190.249
Median Absolute Deviation (MAD)17663.5
Skewness2.8327135
Sum9.6456599 × 108
Variance3.6463955 × 109
MonotonicityNot monotonic
2025-09-28T23:11:47.974288image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02806
 
11.7%
390197
 
0.8%
78075
 
0.3%
31666
 
0.3%
32651
 
0.2%
15049
 
0.2%
39639
 
0.2%
240032
 
0.1%
-1827
 
0.1%
41627
 
0.1%
Other values (17302)20631
86.0%
ValueCountFrequency (%)
-530071
< 0.1%
-375941
< 0.1%
-361561
< 0.1%
-304811
< 0.1%
-207531
< 0.1%
-203201
< 0.1%
-202541
< 0.1%
-200061
< 0.1%
-192051
< 0.1%
-153061
< 0.1%
ValueCountFrequency (%)
9271711
< 0.1%
5870671
< 0.1%
5478801
< 0.1%
5306721
< 0.1%
5243151
< 0.1%
5161391
< 0.1%
5141141
< 0.1%
5082131
< 0.1%
5054731
< 0.1%
5014741
< 0.1%

BILL_AMT6
Real number (ℝ)

High correlation  Zeros 

Distinct16963
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38722.893
Minimum-339603
Maximum961664
Zeros3222
Zeros (%)13.4%
Negative570
Negative (%)2.4%
Memory size187.6 KiB
2025-09-28T23:11:48.095537image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-339603
5-th percentile0
Q11238
median16846
Q349327.5
95-th percentile160083.05
Maximum961664
Range1301267
Interquartile range (IQR)48089.5

Descriptive statistics

Standard deviation59259.183
Coefficient of variation (CV)1.5303398
Kurtosis12.480919
Mean38722.893
Median Absolute Deviation (MAD)16546
Skewness2.8316038
Sum9.2934942 × 108
Variance3.5116508 × 109
MonotonicityNot monotonic
2025-09-28T23:11:48.211352image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03222
 
13.4%
390168
 
0.7%
78069
 
0.3%
31665
 
0.3%
15058
 
0.2%
32642
 
0.2%
39639
 
0.2%
-1828
 
0.1%
41627
 
0.1%
54025
 
0.1%
Other values (16953)20257
84.4%
ValueCountFrequency (%)
-3396031
< 0.1%
-2090511
< 0.1%
-1509531
< 0.1%
-946251
< 0.1%
-738951
< 0.1%
-570601
< 0.1%
-511831
< 0.1%
-457341
< 0.1%
-390461
< 0.1%
-361561
< 0.1%
ValueCountFrequency (%)
9616641
< 0.1%
6999441
< 0.1%
5149751
< 0.1%
5137981
< 0.1%
5119051
< 0.1%
4991001
< 0.1%
4983161
< 0.1%
4969151
< 0.1%
4968011
< 0.1%
4892001
< 0.1%

PAY_AMT1
Real number (ℝ)

High correlation  Zeros 

Distinct6938
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5687.4898
Minimum0
Maximum873552
Zeros4186
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:48.376359image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median2102.5
Q35011
95-th percentile18361.35
Maximum873552
Range873552
Interquartile range (IQR)4011

Descriptive statistics

Standard deviation17011.022
Coefficient of variation (CV)2.9909542
Kurtosis450.30175
Mean5687.4898
Median Absolute Deviation (MAD)1937.5
Skewness15.453319
Sum1.3649976 × 108
Variance2.8937487 × 108
MonotonicityNot monotonic
2025-09-28T23:11:48.471373image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04186
 
17.4%
20001083
 
4.5%
3000707
 
2.9%
5000552
 
2.3%
1500395
 
1.6%
4000339
 
1.4%
10000335
 
1.4%
1000291
 
1.2%
2500246
 
1.0%
6000236
 
1.0%
Other values (6928)15630
65.1%
ValueCountFrequency (%)
04186
17.4%
17
 
< 0.1%
211
 
< 0.1%
312
 
0.1%
415
 
0.1%
511
 
< 0.1%
613
 
0.1%
79
 
< 0.1%
85
 
< 0.1%
95
 
< 0.1%
ValueCountFrequency (%)
8735521
< 0.1%
5050001
< 0.1%
4933581
< 0.1%
4239031
< 0.1%
4050161
< 0.1%
3681991
< 0.1%
3230141
< 0.1%
3048151
< 0.1%
3020001
< 0.1%
3000001
< 0.1%

PAY_AMT2
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct6904
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5928.4353
Minimum0
Maximum1684259
Zeros4308
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:48.583613image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1820
median2013
Q35000
95-th percentile18862.95
Maximum1684259
Range1684259
Interquartile range (IQR)4180

Descriptive statistics

Standard deviation24232.317
Coefficient of variation (CV)4.0874727
Kurtosis1667.0386
Mean5928.4353
Median Absolute Deviation (MAD)1987
Skewness31.769593
Sum1.4228245 × 108
Variance5.872052 × 108
MonotonicityNot monotonic
2025-09-28T23:11:48.696592image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04308
 
17.9%
20001009
 
4.2%
3000687
 
2.9%
5000584
 
2.4%
1000485
 
2.0%
1500415
 
1.7%
4000324
 
1.4%
10000247
 
1.0%
6000235
 
1.0%
390203
 
0.8%
Other values (6894)15503
64.6%
ValueCountFrequency (%)
04308
17.9%
113
 
0.1%
215
 
0.1%
315
 
0.1%
410
 
< 0.1%
520
 
0.1%
67
 
< 0.1%
79
 
< 0.1%
87
 
< 0.1%
93
 
< 0.1%
ValueCountFrequency (%)
16842591
< 0.1%
12270821
< 0.1%
12154711
< 0.1%
10245161
< 0.1%
5804641
< 0.1%
4010031
< 0.1%
3881261
< 0.1%
3852281
< 0.1%
3681991
< 0.1%
3615601
< 0.1%

PAY_AMT3
Real number (ℝ)

High correlation  Zeros 

Distinct6589
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5227.2455
Minimum0
Maximum896040
Zeros4801
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:48.802243image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1390
median1800
Q34512
95-th percentile17665
Maximum896040
Range896040
Interquartile range (IQR)4122

Descriptive statistics

Standard deviation17918.982
Coefficient of variation (CV)3.4279971
Kurtosis626.21117
Mean5227.2455
Median Absolute Deviation (MAD)1799
Skewness18.30276
Sum1.2545389 × 108
Variance3.2108993 × 108
MonotonicityNot monotonic
2025-09-28T23:11:48.919402image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04801
 
20.0%
2000992
 
4.1%
1000864
 
3.6%
3000699
 
2.9%
5000565
 
2.4%
1500403
 
1.7%
4000303
 
1.3%
10000246
 
1.0%
6000190
 
0.8%
1200184
 
0.8%
Other values (6579)14753
61.5%
ValueCountFrequency (%)
04801
20.0%
111
 
< 0.1%
217
 
0.1%
310
 
< 0.1%
412
 
0.1%
514
 
0.1%
612
 
0.1%
714
 
0.1%
88
 
< 0.1%
98
 
< 0.1%
ValueCountFrequency (%)
8960401
< 0.1%
8890431
< 0.1%
5082291
< 0.1%
4175881
< 0.1%
3970921
< 0.1%
3804781
< 0.1%
3717181
< 0.1%
3493951
< 0.1%
3328091
< 0.1%
3269741
< 0.1%

PAY_AMT4
Real number (ℝ)

High correlation  Zeros 

Distinct6036
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4766.8034
Minimum0
Maximum621000
Zeros5148
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:49.013971image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1285
median1500
Q34040.25
95-th percentile16000
Maximum621000
Range621000
Interquartile range (IQR)3755.25

Descriptive statistics

Standard deviation15421.988
Coefficient of variation (CV)3.2352893
Kurtosis312.61672
Mean4766.8034
Median Absolute Deviation (MAD)1500
Skewness13.556888
Sum1.1440328 × 108
Variance2.3783772 × 108
MonotonicityNot monotonic
2025-09-28T23:11:49.153405image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05148
 
21.4%
10001119
 
4.7%
2000938
 
3.9%
3000705
 
2.9%
5000640
 
2.7%
1500339
 
1.4%
4000313
 
1.3%
10000280
 
1.2%
2500206
 
0.9%
500203
 
0.8%
Other values (6026)14109
58.8%
ValueCountFrequency (%)
05148
21.4%
118
 
0.1%
215
 
0.1%
39
 
< 0.1%
419
 
0.1%
59
 
< 0.1%
613
 
0.1%
79
 
< 0.1%
86
 
< 0.1%
98
 
< 0.1%
ValueCountFrequency (%)
6210001
< 0.1%
5288971
< 0.1%
4970001
< 0.1%
4000461
< 0.1%
3317881
< 0.1%
3200081
< 0.1%
3130941
< 0.1%
2929621
< 0.1%
2924621
< 0.1%
2912271
< 0.1%

PAY_AMT5
Real number (ℝ)

High correlation  Zeros 

Distinct5985
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4774.8618
Minimum0
Maximum426529
Zeros5396
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:49.276353image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1239.75
median1500
Q34024.25
95-th percentile15576.3
Maximum426529
Range426529
Interquartile range (IQR)3784.5

Descriptive statistics

Standard deviation15400.224
Coefficient of variation (CV)3.2252712
Kurtosis186.77055
Mean4774.8618
Median Absolute Deviation (MAD)1500
Skewness11.379962
Sum1.1459668 × 108
Variance2.371669 × 108
MonotonicityNot monotonic
2025-09-28T23:11:49.377997image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05396
 
22.5%
20001061
 
4.4%
10001054
 
4.4%
3000762
 
3.2%
5000652
 
2.7%
1500329
 
1.4%
4000328
 
1.4%
10000269
 
1.1%
6000207
 
0.9%
500197
 
0.8%
Other values (5975)13745
57.3%
ValueCountFrequency (%)
05396
22.5%
116
 
0.1%
29
 
< 0.1%
39
 
< 0.1%
49
 
< 0.1%
58
 
< 0.1%
67
 
< 0.1%
78
 
< 0.1%
85
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
4265291
< 0.1%
4179901
< 0.1%
3880711
< 0.1%
3792671
< 0.1%
3320001
< 0.1%
3309821
< 0.1%
3268891
< 0.1%
3170771
< 0.1%
3101351
< 0.1%
3000001
< 0.1%

PAY_AMT6
Real number (ℝ)

High correlation  Zeros 

Distinct6047
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5280.9239
Minimum0
Maximum528666
Zeros5743
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size187.6 KiB
2025-09-28T23:11:49.514303image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1111
median1500
Q34010.5
95-th percentile17387.5
Maximum528666
Range528666
Interquartile range (IQR)3899.5

Descriptive statistics

Standard deviation18214.205
Coefficient of variation (CV)3.4490565
Kurtosis174.85209
Mean5280.9239
Median Absolute Deviation (MAD)1500
Skewness10.877723
Sum1.2674217 × 108
Variance3.3175727 × 108
MonotonicityNot monotonic
2025-09-28T23:11:49.639467image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05743
23.9%
10001043
 
4.3%
20001012
 
4.2%
3000737
 
3.1%
5000657
 
2.7%
1500347
 
1.4%
4000335
 
1.4%
10000285
 
1.2%
500208
 
0.9%
6000180
 
0.8%
Other values (6037)13453
56.1%
ValueCountFrequency (%)
05743
23.9%
119
 
0.1%
28
 
< 0.1%
310
 
< 0.1%
411
 
< 0.1%
55
 
< 0.1%
66
 
< 0.1%
75
 
< 0.1%
84
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
5286661
< 0.1%
5271431
< 0.1%
4430011
< 0.1%
4220001
< 0.1%
4035001
< 0.1%
3770001
< 0.1%
3724951
< 0.1%
3512821
< 0.1%
3452931
< 0.1%
3080001
< 0.1%

default
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.6 KiB
0
18694 
1
5306 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
018694
77.9%
15306
 
22.1%

Length

2025-09-28T23:11:49.741718image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-09-28T23:11:49.795069image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
ValueCountFrequency (%)
018694
77.9%
15306
 
22.1%

Most occurring characters

ValueCountFrequency (%)
018694
77.9%
15306
 
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
018694
77.9%
15306
 
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
018694
77.9%
15306
 
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)24000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
018694
77.9%
15306
 
22.1%

Interactions

2025-09-28T23:11:42.603932image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.112678image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:11.780283image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.373019image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:14.976106image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.517640image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.168219image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.668629image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.180147image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.689035image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.244351image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:25.961185image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.514658image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.168474image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.744715image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.270593image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:33.929627image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.715939image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.453787image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:39.065609image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:40.912917image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.690095image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.195475image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:11.855733image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.448235image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:15.055165image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.590768image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.243234image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.740240image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.251529image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.760482image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.317881image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:26.033138image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.598505image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.241944image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.816766image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.346981image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:34.017600image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.823474image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.523798image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:39.164757image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:40.985822image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.809489image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.280927image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:11.928567image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.522861image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:15.130635image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.662907image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.315785image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.815857image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.322544image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.832298image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.394664image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:26.106497image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.675432image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.314868image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.888076image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.424273image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:34.256119image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.902862image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.593687image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:39.255154image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:41.063109image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.906612image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.367542image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:12.001919image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.597710image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:15.203320image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.736336image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.388562image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.886991image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.395198image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.904807image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.469730image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:26.183931image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.753585image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.393514image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.960195image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.501722image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:34.334476image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.986075image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.665196image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:39.364217image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:41.136306image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.990762image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.448295image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:12.073741image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.677004image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:15.272337image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.805280image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.461275image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.953537image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.462996image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.972300image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.542558image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:26.256358image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.829231image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.467578image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:31.042655image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.585011image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:34.410054image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:36.064779image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.744976image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:39.449711image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:41.222218image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:43.084394image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.533064image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:12.145362image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.749855image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:15.341494image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.875240image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.527788image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:20.022000image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.529230image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:23.041956image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.621634image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:26.326868image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.904053image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.546058image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:31.110268image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.661625image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:34.484931image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:36.137499image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.812289image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:39.532076image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:41.311389image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:43.158638image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.608999image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:12.223224image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.822510image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:15.410447image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.952441image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.595452image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:20.089052image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.596776image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:23.117368image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.695068image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:26.398497image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.979198image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.617824image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:31.179615image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.737417image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:34.563035image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:36.230880image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.877669image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:39.622731image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:41.382534image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:43.255831image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:10.699863image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:12.294902image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.896432image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
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2025-09-28T23:11:35.351881image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.033442image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:38.638508image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:40.429617image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.159397image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:44.286091image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:11.476776image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.061248image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:14.674210image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.223428image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:17.873666image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.390212image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:20.888759image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.398892image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:23.954546image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:25.542191image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.224745image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:28.850122image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.445090image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:31.983988image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:33.612265image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.429317image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.115644image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:38.722935image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:40.520669image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.239472image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:44.369358image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:11.549348image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.133292image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:14.746857image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.293587image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:17.943408image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.458406image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:20.958338image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.467855image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.023169image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:25.735200image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.295362image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:28.927200image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.515850image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.059738image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:33.688076image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.499979image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.204118image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:38.803962image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:40.611677image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.325387image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:44.444973image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:11.626261image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.215497image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:14.825301image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.367396image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.022073image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.530092image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.033878image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.542482image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.105084image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:25.811563image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.370182image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.007853image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.599574image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.131442image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:33.771039image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.569971image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.288602image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:38.904367image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:40.744735image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.433343image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:44.524384image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:11.698656image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:13.289009image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:14.898032image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:16.438232image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:18.093008image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:19.598802image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:21.102679image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:22.619416image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:24.172818image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:25.885051image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:27.441347image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:29.089767image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:30.672087image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:32.199254image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:33.847795image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:35.639257image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:37.362242image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:38.982179image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:40.833894image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-09-28T23:11:42.518220image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Correlations

2025-09-28T23:11:49.857071image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
AGEBILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6EDUCATIONLIMIT_BALMARRIAGEPAY_1PAY_2PAY_3PAY_4PAY_5PAY_6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6SEXdefault
AGE1.0000.0020.0040.003-0.003-0.001-0.0010.1600.1860.286-0.066-0.083-0.083-0.078-0.084-0.0790.0390.0480.0290.0390.0360.0430.1010.043
BILL_AMT10.0021.0000.9110.8570.8080.7690.7360.0950.0510.0140.3220.5760.5270.5130.5000.4890.5050.4730.4410.4420.4280.4130.0240.025
BILL_AMT20.0040.9111.0000.9080.8500.8040.7660.0920.0470.0060.3360.5540.5910.5590.5380.5240.6370.5010.4690.4610.4520.4310.0290.027
BILL_AMT30.0030.8570.9081.0000.9040.8490.8040.0810.0590.0040.3210.5210.5590.6210.5890.5610.5520.6400.4920.4880.4800.4580.0150.000
BILL_AMT4-0.0030.8080.8500.9041.0000.9040.8490.0690.0730.0110.3150.5010.5350.5950.6510.6060.5160.5570.6340.5080.5090.4830.0210.019
BILL_AMT5-0.0010.7690.8040.8490.9041.0000.9020.0600.0820.0170.3040.4800.5090.5620.6190.6690.4860.5190.5500.6480.5270.5110.0220.018
BILL_AMT6-0.0010.7360.7660.8040.8490.9021.0000.0550.0890.0120.2940.4620.4860.5340.5810.6310.4590.4910.5200.5690.6680.5280.0190.015
EDUCATION0.1600.0950.0920.0810.0690.0600.0551.000-0.2600.1140.1320.1680.1590.1500.1350.122-0.041-0.046-0.043-0.044-0.053-0.0520.0270.072
LIMIT_BAL0.1860.0510.0470.0590.0730.0820.089-0.2601.0000.059-0.294-0.339-0.328-0.305-0.281-0.2600.2740.2800.2840.2840.2960.3200.0720.153
MARRIAGE0.2860.0140.0060.0040.0110.0170.0120.1140.0591.0000.0320.0320.0300.0330.0310.0290.0340.0220.0220.0330.0110.0000.0250.035
PAY_1-0.0660.3220.3360.3210.3150.3040.2940.132-0.2940.0321.0000.6280.5470.5180.4900.465-0.095-0.055-0.046-0.033-0.020-0.0410.0580.422
PAY_2-0.0830.5760.5540.5210.5010.4800.4620.168-0.3390.0320.6281.0000.7990.7120.6730.6360.0240.0880.0920.0970.1030.0860.0690.334
PAY_3-0.0830.5270.5910.5590.5350.5090.4860.159-0.3280.0300.5470.7991.0000.8000.7180.6720.2180.0400.1070.1190.1260.0990.0660.290
PAY_4-0.0780.5130.5590.6210.5950.5620.5340.150-0.3050.0330.5180.7120.8001.0000.8220.7320.1880.2480.0700.1430.1640.1420.0640.278
PAY_5-0.0840.5000.5380.5890.6510.6190.5810.135-0.2810.0310.4900.6730.7180.8221.0000.8200.1780.2240.2620.1070.1900.1730.0520.271
PAY_6-0.0790.4890.5240.5610.6060.6690.6310.122-0.2600.0290.4650.6360.6720.7320.8201.0000.1780.2040.2370.2870.1450.2000.0490.251
PAY_AMT10.0390.5050.6370.5520.5160.4860.459-0.0410.2740.034-0.0950.0240.2180.1880.1780.1781.0000.5180.5190.4910.4720.4560.0000.027
PAY_AMT20.0480.4730.5010.6400.5570.5190.491-0.0460.2800.022-0.0550.0880.0400.2480.2240.2040.5181.0000.5160.5250.5020.4910.0000.008
PAY_AMT30.0290.4410.4690.4920.6340.5500.520-0.0430.2840.022-0.0460.0920.1070.0700.2620.2370.5190.5161.0000.5140.5380.5020.0160.023
PAY_AMT40.0390.4420.4610.4880.5080.6480.569-0.0440.2840.033-0.0330.0970.1190.1430.1070.2870.4910.5250.5141.0000.5340.5470.0000.021
PAY_AMT50.0360.4280.4520.4800.5090.5270.668-0.0530.2960.011-0.0200.1030.1260.1640.1900.1450.4720.5020.5380.5341.0000.5460.0130.036
PAY_AMT60.0430.4130.4310.4580.4830.5110.528-0.0520.3200.000-0.0410.0860.0990.1420.1730.2000.4560.4910.5020.5470.5461.0000.0170.028
SEX0.1010.0240.0290.0150.0210.0220.0190.0270.0720.0250.0580.0690.0660.0640.0520.0490.0000.0000.0160.0000.0130.0171.0000.042
default0.0430.0250.0270.0000.0190.0180.0150.0720.1530.0350.4220.3340.2900.2780.2710.2510.0270.0080.0230.0210.0360.0280.0421.000

Missing values

2025-09-28T23:11:44.727975image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
A simple visualization of nullity by column.
2025-09-28T23:11:44.938250image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

LIMIT_BALSEXEDUCATIONMARRIAGEAGEPAY_1PAY_2PAY_3PAY_4PAY_5PAY_6BILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6default
0200002212422-1-1-2-23913.03102.0689.00.00.00.00.0689.00.00.00.00.01
1900002223400000029239.014027.013559.014331.014948.015549.01518.01500.01000.01000.01000.05000.00
2500002213700000046990.048233.049291.028314.028959.029547.02000.02019.01200.01100.01069.01000.00
35000012157-10-10008617.05670.035835.020940.019146.019131.02000.036681.010000.09000.0689.0679.00
4500001123700000064400.057069.057608.019394.019619.020024.02500.01815.0657.01000.01000.0800.00
5100000222230-1-100-111876.0380.0601.0221.0-159.0567.0380.0601.00.0581.01687.01542.00
61400002312800200011285.014096.012108.012211.011793.03719.03329.00.0432.01000.01000.01000.00
72000013235-2-2-2-2-1-10.00.00.00.013007.013912.00.00.00.013007.01122.00.00
82000002323400200-111073.09787.05535.02513.01828.03731.02306.012.050.0300.03738.066.00
926000021251-1-1-1-1-1212261.021670.09966.08517.022287.013668.021818.09966.08583.022301.00.03640.00
LIMIT_BALSEXEDUCATIONMARRIAGEAGEPAY_1PAY_2PAY_3PAY_4PAY_5PAY_6BILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6default
2399025000011134000000279640.0252913.0243075.0245750.0175005.0179687.065000.08800.09011.06000.07000.06009.00
2399115000011235-1-1-1-1-1-23425.09009.0-3.0780.00.00.09054.00.0783.00.00.00.00
2399214000012141000000138325.0137142.0139110.0138262.049675.046121.06000.07000.04228.01505.02000.02000.00
239931000013143000-2-2-28802.010400.00.00.00.00.02000.00.00.00.00.00.00
23994100000112380-1-10003042.01427.0102996.070626.069473.055004.02000.0111784.04000.03000.02000.02000.00
23995800001223422222272557.077708.079384.077519.082607.081158.07000.03500.00.07000.00.04000.01
2399615000013243-1-1-1-1001683.01828.03502.08979.05190.00.01837.03526.08998.0129.00.00.00
239973000012237432-1003565.03356.02758.020878.020582.019357.00.00.022000.04200.02000.03100.01
2399880000131411-1000-1-1645.078379.076304.052774.011855.048944.085900.03409.01178.01926.052964.01804.01
23999500001214600000047929.048905.049764.036535.032428.015313.02078.01800.01430.01000.01000.01000.01

Duplicate rows

Most frequently occurring

LIMIT_BALSEXEDUCATIONMARRIAGEAGEPAY_1PAY_2PAY_3PAY_4PAY_5PAY_6BILL_AMT1BILL_AMT2BILL_AMT3BILL_AMT4BILL_AMT5BILL_AMT6PAY_AMT1PAY_AMT2PAY_AMT3PAY_AMT4PAY_AMT5PAY_AMT6default# duplicates
020000122242244441650.01650.01650.01650.01650.01650.00.00.00.00.00.00.012
150000122261-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002
250000212231-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002
38000022131-2-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002
48000022225-2-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002
58000023142-2-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002
690000212311-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002
7150000211311-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002
8150000211381-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.012
9150000212281-2-2-2-2-20.00.00.00.00.00.00.00.00.00.00.00.002